University of Denver Master of Data Science online
University of Denver’s online Master of Data Science program prepares learners to tackle the world’s most crucial big-data challenges.
About the program
- No GRE required: Your application will be assessed based on your previous educational and professional experiences, current career goals, and a commitment to advancing scientific knowledge.
- Foundational courses available: Start learning without a computer science background. The three foundational courses explore the basics of Python programming and data science mathematics.
- Developing data science leaders: Upon graduation, you’ll be able to build tools to collect, evaluate and interpret data to solve complex challenges across a variety of industries.
About University of Denver
The University of Denver is committed to providing high-quality education and academic research to working professionals and growing scholars, online, and on campus. The Ritchie School of Engineering and Computer Science inspires learners in the Rocky Mountain region and beyond to use technology to build a smarter, more sustainable world.
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Choose the track that best fits you
The DataScience@Denver curriculum prepares learners to design tools that collect, evaluate and interpret data to inform critical decisions. Through rigorous, mathematically-based coursework, learners master advanced concepts to tackle the world’s most important big-data challenges.
- The Accelerated Track: designed for learners with a background in computer science and who have tested out of the foundational courses. This track can be completed in 18 months, with two courses per term. Some featured courses include Algorithms for Data Science, Machine Learning, and Parallel and Distributed Computing.
- The Standard Track: for learners without a background in computer science. You will need to take foundational courses during the first two terms. This track can be completed in 24 months, with two courses per term. The three foundational courses are Foundations in Python Programming, Foundations in Data Science Mathematics I, and Foundations in Data Science Mathematics II.
Admissions
The Ritchie School of Engineering and Computer Science seeks driven individuals with strong analytical skills and any level of computer science background. GRE scores are not required. In addition to holding a bachelor’s degree and an undergraduate cumulative GPA of 2.5, you will need to submit the following items:
Current résumé
Transcripts
Application fee
Letters of recommendation
Personal statement
Frequently asked questions
The length of an online MS in Data Science program depends on many factors, including the number of credits in a given track, and whether you attend part or full time. Learners in the DataScience@Denver online program can earn their master's in Data Science in as few as 18 months.
To apply for the DataScience@Denver program, you need to complete an online application and submit a current résumé, official academic records, two letters of recommendation, a personal statement and an application fee. You can review the Admission Requirements page for more information.
Testing requirements for MS in Data Science programs can vary by university. However, GRE scores are not required to apply to the DataScience@Denver online program.
Candidates for the online DataScience@Denver program come from a wide range of educational and professional backgrounds. This program offers three foundational courses for learners without a data science background. Learners with previous data science experience may test out of these courses. You can review the Curriculum page for more information on the foundational courses, as well as the other types of courses offered throughout the program.
The DataScience@Denver program platform is designed to encourage consistent, meaningful interactions between you, your peers, and your professors — conversations that will help shape new perspectives and innovative data-centric ideas. To that end, classes are kept small and are delivered live on a high-quality, face-to-face video conferencing platform. The platform also supports live chats, breakout rooms, and presentation mode. Visit the Online Student Experience page for more information.
The data science field continues to grow as more companies rely on the benefits of data collection and evaluation. According to the U.S. Bureau of Labor Statistics, employment of computer and information research scientists is projected to grow 22% from 2020 to 2030, much faster than the average for all occupations.